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作 者:李汶哲[1] 毛海宽 吕辉[1,2,3] LI Wenzhe;MAO Haikuan;LÜHui(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha 410082,China;Key Laboratory of Advanced Manufacture Technology for Automobile Parts,Ministry of Education,Chongqing University of Technology,Chongqing 400054,China;School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640 China)
机构地区:[1]湖南大学汽车车身先进设计制造国家重点实验室,湖南长沙410082 [2]重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆400054 [3]华南理工大学机械与汽车工程学院,广东广州510640
出 处:《湖南大学学报(自然科学版)》2023年第4期55-64,共10页Journal of Hunan University:Natural Sciences
基 金:国家重点研发计划资助项目(2019YFB1706504);国家自然科学基金资助项目(51975217);广东省自然科学基金资助项目(2023A1515011585);汽车零部件先进制造技术教育部重点实验室开放课题(2020KLMT01)。
摘 要:针对电动车动力总成悬置系统(Powertrain Mounting System,PMS)不确定参数同时存在不精确信息和相关性的复杂情形,提出一种考虑参数不精确信息和相关性的电动车PMS的可靠性分析方法 .首先,采用证据变量处理PMS参数的不精确信息,并引入相关系数矩阵描述变量间的相关性;然后,利用仿射变换并结合标准化技术,将相关的证据变量转化为标准的不相关证据变量;最后,通过求解PMS的固有特性响应及其满足设计要求的可信度与似真度,对PMS的可靠性概率区间进行分析.某电动车PMS可靠性分析算例结果表明:采用相关的证据变量能有效地处理PMS参数的不精确信息与相关性;参数的不精确信息对系统的可靠性有较大影响,尤其是Roll方向固有频率的可靠性;随着参数相关性增大,系统的可靠性出现明显变化,忽略参数的相关性可能导致较大的可靠性分析误差.To handle the complex cases that the uncertain parameters of the Powertrain Mounting Systems(PMSs)of electric vehicles are of imprecise information and correlation,a reliability analysis method of electric vehicle PMS is proposed by considering the imprecise information and correlation of PMS parameters.Firstly,evidence variables were employed to describe the parametrical imprecise information,and the correlation between evidence variables was described by the correlation coefficient matrix.Then,based on the affine transformation and standardization techniques,the relevant evidence variables were transformed into standard irrelevant evidence variables.Finally,by calculating the inherent characteristic response of the PMS as well as the belief function and plausibility function that meets design requirements,the reliable probability intervals of PMS responses were evaluated.The reliability analysis results of the numerical example of an electric vehicle PMS show that the parametrical imprecise information and correlation can be effectively handled by the correlated evidence variables;the parametrical imprecise information has a great influence on the system reliability,especially on the reliability related to the natural frequency in Roll direction;the system reliability changes obviously as the parametrical correlation increases,and ignoring the parametrical correlation may lead to large errors of reliability analysis.
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